# Project 1: The Game of Hog

I know! I'll use my

Higher-order functions to

Order higher rolls.

## Introduction

Important submission note:For full credit:

- Submit with Phase 1 complete by
Tuesday, Feb 7, worth 1 pt.- Submit the complete project by
Friday, Feb 10.Try to attempt the problems in order, as some later problems will depend on earlier problems in their implementation and therefore also when running

`ok`

tests.You may complete the project with a partner.

You can get 1 bonus point by submitting the entire project by

Thursday, Feb 9You can receive extensions on the project deadline and checkpoint deadline, but not on the early deadline, unless you're a DSP student with an accommodation for assignment extensions.

In this project, you will develop a simulator and multiple strategies for the
dice game Hog. You will need to use *control statements* and *higher-order
functions* together, as described in Sections 1.2 through 1.6 of Composing
Programs, the online textbook.

When students in the past have tried to implement the functions without thoroughly reading the problem description, they’ve often run into issues. 😱

Read each description thoroughly before starting to code.

### Rules

In Hog, two players alternate turns trying to be the first to end a turn with
at least `GOAL`

total points, where `GOAL`

defaults to 100. On each turn, the current player chooses some number
of dice to roll, up to 10. That player's score for the turn is the sum of the
dice outcomes. However, a player who rolls too many dice risks:

**Sow Sad**. If any of the dice outcomes is a 1, the current player's score for the turn is`1`

.

*Example 1:*The current player rolls 7 dice, 5 of which are 1's. They score`1`

point for the turn.*Example 2:*The current player rolls 4 dice, all of which are 3's. Since Sow Sad did not occur, they score`12`

points for the turn.

In a normal game of Hog, those are all the rules. To spice up the game, we'll include some special rules:

**Pig Tail**. A player who chooses to roll zero dice scores`2 * abs(tens - ones) + 1`

points; where`tens`

,`ones`

are the tens and ones digits of the opponent's score. The ones digit refers to the rightmost digit and the tens digit refers to the second-rightmost digit.

*Example 1:*- The opponent has
`46`

points, and the current player chooses to roll zero dice.`2 * abs(4 - 6) + 1 = 5`

, so the player gains`5`

points.

- The opponent has
*Example 2:*- The opponent has
`73`

points, and the current player chooses to roll zero dice.`2 * abs(7 - 3) + 1 = 9`

.

- The opponent has

**Square Swine**. After a player gains points for their turn, if the resulting score is a perfect square, then increase their score to the next higher perfect square. A perfect square is any integer`n`

where`n = d * d`

for some integer`d`

.

*Example 1:*- A player has 12 points and rolls 3 dice that total 13 points. Their new score would be 25, but since 25 is 5 squared, their score is increased to 6 squared: 36.

*Example 2:*- A player has 12 points and rolls 3 dice that total 12 point. Their new score would be 24, which is not a perfect square.

*Example 3:*- A player has 0 points and rolls 5 dice, but one is a 1, so their new score would be 1. 1 is a perfect square, and so their score is increased to 4.

*Example 4:*- A player has 80 points and rolls 10 dice, but three are 1's, so their new score would be 1. 81 is 9 squared, so their new score is 10 squared: 100. They win the game.

## Download starter files

To get started, download all of the project code as a zip archive.
Below is a list of all the files you will see in the archive once unzipped.
For the project, you'll only be making changes to `hog.py`

.

`hog.py`

: A starter implementation of Hog`dice.py`

: Functions for making and rolling dice`hog_gui.py`

: A graphical user interface (GUI) for Hog (updated)`ucb.py`

: Utility functions for CS 61A`hog_ui.py`

: A text-based user interface (UI) for Hog`ok`

: CS 61A autograder`tests`

: A directory of tests used by`ok`

`gui_files`

: A directory of various things used by the web GUI

You may notice some files other than the ones listed above too—those are needed for making the autograder and portions of the GUI work. Please do not modify any files other than `hog.py`

.

## Logistics

The project is worth 25 points, of which 1 point is for submitting Phase 1 by the checkpoint date of Tuesday, Feb 7.

You will turn in the following files:

`hog.py`

You do not need to modify or turn in any other files to complete the
project. To submit the project, ** submit the required files to the appropriate Gradescope assignment.**

For the functions that we ask you to complete, there may be some initial code that we provide. If you would rather not use that code, feel free to delete it and start from scratch. You may also add new function definitions as you see fit.

**However, please do not modify any other functions or edit any files not
listed above**. Doing so may result in your code failing our autograder tests.
Also, please do not change any function signatures (names, argument order, or
number of arguments).

Throughout this project, you should be testing the correctness of your code.
It is good practice to test often, so that it is easy to isolate any problems.
However, you should not be testing *too* often, to allow yourself time to
think through problems.

We have provided an **autograder** called `ok`

to help you
with testing your code and tracking your progress. The first time you run the
autograder, you will be asked to **log in with your Ok account using your web
browser**. Please do so. Each time you run `ok`

, it will back up
your work and progress on our servers.

The primary purpose of `ok`

is to test your implementations.

python3 ok -q [question number] -iwith the appropriate question number (e.g.

`01`

) inserted.
This will run the tests for that question until the first one you failed,
then give you a chance to test the functions you wrote interactively.
You can also use the debugging print feature in OK by writing

print("DEBUG:", x)which will produce an output in your terminal without causing OK tests to fail with extra output.

## Graphical User Interface

A **graphical user interface** (GUI, for short) is provided for you. At the moment, it doesn't work because you haven't implemented the game logic. Once you complete the play function, you will be able to play a fully interactive version of Hog!

Once you've done that, you can run the GUI from your terminal:

`python3 hog_gui.py`

## Getting Started Videos

These videos may provide some helpful direction for tackling the coding problems on this assignment.

To see these videos, you should be logged into your berkeley.edu email.

## Phase 1: Rules of the Game

In the first phase, you will develop a simulator for the game of Hog.

### Problem 0 (0 pt)

The `dice.py`

file represents dice using non-pure zero-argument functions.
These functions are non-pure because they may have different return values each
time they are called, and so a side-effect of calling the function may be
changing what will happen when the function is called again. The documentation
of `dice.py`

describes the two different types of dice used in the project:

**Fair**dice produce each possible outcome with equal probability. The`four_sided`

and`six_sided`

functions are examples.**Test**dice are deterministic: they always cycle through a fixed sequence of values that are passed as arguments. Test dice are generated by the`make_test_dice`

function.

Before writing any code, read over the `dice.py`

file and check your
understanding by unlocking the following tests.

`python3 ok -q 00 -u`

This should display a prompt that looks like this:

```
=====================================================================
Assignment: Project 1: Hog Ok, version v1.18.1
=====================================================================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Unlocking tests
At each "? ", type what you would expect the output to be. Type exit() to quit
---------------------------------------------------------------------
Question 0 > Suite 1 > Case 1
(cases remaining: 1)
>>> test_dice = make_test_dice(4, 1, 2)
>>> test_dice()
?
```

You should type in what you expect the output to be. To do so, you need to
first figure out what `test_dice`

will do, based on the description above.

You can exit the unlocker by typing `exit()`

.

**Typing Ctrl-C on Windows to exit out of the unlocker has been known to cause
problems, so avoid doing so.**

### Problem 1 (2 pt)

Implement the `roll_dice`

function in `hog.py`

. It takes two arguments: a
positive integer called `num_rolls`

giving the number of dice to roll and a
`dice`

function. It returns the number of points scored by rolling the dice
that number of times in a turn: either the sum of the outcomes or 1 *(Sow
Sad)*.

**Sow Sad**. If any of the dice outcomes is a 1, the current player's score for the turn is`1`

.

*Example 1:*The current player rolls 7 dice, 5 of which are 1's. They score`1`

point for the turn.*Example 2:*The current player rolls 4 dice, all of which are 3's. Since Sow Sad did not occur, they score`12`

points for the turn.

To obtain a single outcome of a dice roll, call `dice()`

. You should call
`dice()`

**exactly num_rolls times** in the body of

`roll_dice`

.Remember to call `dice()`

exactly `num_rolls`

times **even if Sow Sad happens
in the middle of rolling**. By doing so, you will correctly simulate rolling
all the dice together (and the user interface will work correctly).

Note:The`roll_dice`

function, and many other functions throughout the project, makes use ofdefault argument values—you can see this in the function heading:`def roll_dice(num_rolls, dice=six_sided): ...`

The argument

`dice=six_sided`

means that when`roll_dice`

is called, the`dice`

argument isoptional. If no value for`dice`

is provided, then`six_sided`

is used by default.For example, calling

`roll_dice(3, four_sided)`

, or equivalently`roll_dice(3, dice=four_sided)`

, simulates rolling 3 four-sided dice, while calling`roll_dice(3)`

simulates rolling 3 six-sided dice.

**Understand the problem**:

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 01 -u`

Note:You will not be able to test your code using`ok`

until you unlock the test cases for the corresponding question.

**Write code and check your work**:

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 01`

Check out the Debugging Guide!

#### Debugging Tips

If the tests don't pass, it's time to debug. You can observe the behavior of
your function using Python directly. First, start the Python interpreter and
load the `hog.py`

file.

`python3 -i hog.py`

Then, you can call your `roll_dice`

function on any number of dice you want.
The `roll_dice`

function has a default argument value for `dice`

that is a
random six-sided dice function. Therefore, the following call to `roll_dice`

simulates rolling four fair six-sided dice.

`>>> roll_dice(4)`

You will find that the previous expression may have a different result each time you call it, since it is simulating random dice rolls. You can also use test dice that fix the outcomes of the dice in advance. For example, rolling twice when you know that the dice will come up 3 and 4 should give a total outcome of 7.

```
>>> fixed_dice = make_test_dice(3, 4) roll_dice(2, fixed_dice)
7
```

On most systems, you can evaluate the same expression again by pressing the up arrow, then pressing enter or return. To evaluate earlier commands, press the up arrow repeatedly.

If you find a problem, you first need to change your

`hog.py`

file to fix the problem, and save the file. Then, to check whether your fix works, you'll have to quit the Python interpreter by either using`exit()`

or`Ctrl^D`

, and re-run the interpreter to test the changes you made. Pressing the up arrow in both the terminal and the Python interpreter should give you access to your previous expressions, even after restarting Python.

[default argument value]: http://composingprograms.com/pages/14-designing-functions.html#default-argument-values

Continue debugging your code and running the

`ok`

tests until they all pass.One more debugging tip: to start the interactive interpreter automatically upon failing an

`ok`

test, use`-i`

. For example,`python3 ok -q 01 -i`

will run the tests for question 1, then start an interactive interpreter with`hog.py`

loaded if a test fails.

### Problem 2 (2 pt)

Implement `tail_points`

, which takes the player's opponent's current score
`opponent_score`

, and returns the number of points scored by Pig Tail when the
player rolls 0 dice.

**Pig Tail**. A player who chooses to roll zero dice scores`2 * abs(tens - ones) + 1`

points; where`tens`

,`ones`

are the tens and ones digits of the opponent's score. The ones digit refers to the rightmost digit and the tens digit refers to the second-rightmost digit.

*Example 1:*- The opponent has
`46`

points, and the current player chooses to roll zero dice.`2 * abs(4 - 6) + 1 = 5`

, so the player gains`5`

points.

- The opponent has
*Example 2:*- The opponent has
`73`

points, and the current player chooses to roll zero dice.`2 * abs(7 - 3) + 1 = 9`

.

- The opponent has

Don't assume that scores are below 100. Write your

`tail_points`

function so that it works correctly for any non-negative score.

Important:Your implementation shouldnotuse`str`

, lists, or contain square brackets`[`

`]`

. The test cases will check if those have been used.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 02 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 02`

You can also test `tail_points`

interactively by running `python3 -i hog.py`

from the terminal and calling `tail_points`

on various inputs.

### Problem 3 (2 pt)

Implement the `take_turn`

function, which returns the number of points scored
for a turn by rolling the given `dice`

`num_rolls`

times.

Your implementation of `take_turn`

should call both `roll_dice`

and
`tail_points`

rather than repeating their implementations.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 03 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 03`

### Problem 4 (1 pt)

Add functions `perfect_square`

and `next_perfect_square`

so that
`square_update`

returns a player's total score after they roll `num_rolls`

. You
do not need to edit the body of `square_update`

.

**Square Swine**. After a player gains points for their turn, if the resulting score is a perfect square, then increase their score to the next higher perfect square. A perfect square is any integer`n`

where`n = d * d`

for some integer`d`

.

*Example 1:*- A player has 12 points and rolls 3 dice that total 13 points. Their new score would be 25, but since 25 is 5 squared, their score is increased to 6 squared: 36.

*Example 2:*- A player has 12 points and rolls 3 dice that total 12 point. Their new score would be 24, which is not a perfect square.

*Example 3:*- A player has 0 points and rolls 5 dice, but one is a 1, so their new score would be 1. 1 is a perfect square, and so their score is increased to 4.

*Example 4:*- A player has 80 points and rolls 10 dice, but three are 1's, so their new score would be 1. 81 is 9 squared, so their new score is 10 squared: 100. They win the game.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 04 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 04`

### Problem 5 (5 pt)

Implement the `play`

function, which simulates a full game of Hog. Players take
turns rolling dice until one of the players reaches the `goal`

score, and the
final scores of both players are returned by the function.

To determine how many dice are rolled each turn, call the current player's
strategy function (Player 0 uses `strategy0`

and Player 1 uses `strategy1`

). A
*strategy* is a function that, given a player's score and their opponent's
score, returns the number of dice that the current player will roll in the
turn. An example strategy is `always_roll_5`

which appears above `play`

.

To determine the updated score for a player after they take a turn, call the
`update`

function. An `update`

function takes the number
of dice to roll, the current player's score, the opponent's score, and the
dice function used to simulate rolling dice. It returns the updated score
of the current player after they take their turn. Two examples of `update`

functions
are `simple_update`

and`square_update`

.

If a player achieves the goal score by the end of their turn, i.e. after all
applicable rules have been applied, the game ends. `play`

will then return the
final total scores of both players, with Player 0's score first and Player 1's
score second.

Some example calls to `play`

are:

`play(always_roll_5, always_roll_5, simple_update)`

simulates two players that both always roll 5 dice each turn, playing with just the Sow Sad and Pig Tail rules.`play(always_roll_5, always_roll_5, square_update)`

simulates two players that both always roll 5 dice each turn, playing with the Square Swine rule in addition to the Sow Sad and Pig Tail rules (i.e. all the rules).

Important:For the user interface to work, a strategy function should be called only once per turn. Only call`strategy0`

when it is Player 0's turn and only call`strategy1`

when it is Player 1's turn.

Hints:

- If
`who`

is the current player, the next player is`1 - who`

.- To call
`play(always_roll_5, always_roll_5, square_update)`

and print out what happens each turn, run`python3 hog_ui.py`

from the terminal.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 05 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 05`

Check to make sure that you completed all the problems in Phase 1:

`python3 ok --score`

Then, submit your work **to Gradescope** before the checkpoint deadline:

When you run `ok`

commands, you'll still see that some tests are locked
because you haven't completed the whole project yet. You'll get full credit for
the checkpoint if you complete all the problems up to this point.

**Congratulations! You have finished Phase 1 of this project!**

## Interlude: User Interfaces

There are no required problems in this section of the project, just some examples for you to read and understand. See Phase 2 for the remaining project problems.

### Printing Game Events

We have built a simulator for the game, but haven't added any code to describe how the game events should be displayed to a person. Therefore, we've built a computer game that no one can play. (Lame!)

However, the simulator is expressed in terms of small functions, and we can
replace each function by a version that prints out what happens when it is
called. Using higher-order functions, we can do so without changing much of our
original code. An example appears in `hog_ui.py`

, which you are encouraged to
read.

The `play_and_print`

function calls the same `play`

function just implemented,
but using:

- new strategy functions (e.g.,
`printing_strategy(0, always_roll_5)`

) that print out the scores and number of dice rolled. - a new update function (
`square_update_and_print`

) that prints the outcome of each turn. - a new dice function (
`printing_dice(six_sided)`

) that prints the outcome of rolling the dice.

Notice how much of the original simulator code can be reused.

Running `python3 hog_ui.py`

from the terminal calls
`play_and_print(always_roll_5, always_roll_5)`

.

### Accepting User Input

The built-in `input`

function waits for the user to type a line of text and
then returns that text as a string. The built-in `int`

function can take a
string containing the digits of an integer and return that integer.

The `interactive_strategy`

function returns a strategy that let's a person
choose how many dice to roll each turn by calling `input`

.

With this strategy, we can finally play a game using our `play`

function:

Running `python3 hog_ui.py -n 1`

from the terminal calls
`play_and_print(interactive_strategy(0), always_roll_5)`

, which plays a game
betweem a human (Player 0) and a computer strategy that always rolls 5.

Running `python3 hog_ui.py -n 2`

from the terminal calls
`play_and_print(interactive_strategy(0), interactive_strategy(1))`

, which plays
a game between two human players.

You are welcome to change `hog_ui.py`

in any way you want, for example to use
different strategies than `always_roll_5`

.

### Graphical User Interface (GUI)

We have also provided a web-based graphical user interface for the game using a similar approach as `hog_ui.py`

called `hog_gui.py`

. You can run it from the terminal:

`python3 hog_gui.py`

Like `hog_ui.py`

, the GUI relies on your simulator implementation, so if you have any bugs in your code, they will be reflected in the GUI. This means you can also use the GUI as a debugging tool; however, it's better to run the tests first.

The source code for the Hog GUI is publicly available on Github but involves several other programming languages: Javascript, HTML, and CSS.

## Phase 2: Strategies

In this phase, you will experiment with ways to improve upon the basic
strategy of always rolling five dice. A *strategy* is a function that
takes two arguments: the current player's score and their opponent's score. It
returns the number of dice the player will roll, which can be from 0 to 10
(inclusive).

### Problem 6 (2 pt)

Implement `always_roll`

, a higher-order function that takes a number of dice
`n`

and returns a strategy that always rolls `n`

dice. Thus, `always_roll(5)`

would be equivalent to `always_roll_5`

.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 06 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 06`

### Problem 7 (2 pt)

A strategy only has a fixed number of possible argument values. In a game to
100, there are 100 possible `score`

values (0-99) and 100 possible
`opponent_score`

values (0-99), giving 10,000 possible argument combinations.

Implement `is_always_roll`

, which takes a strategy and returns whether that
strategy always rolls the same number of dice for every possible argument
combination.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 07 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 07`

### Problem 8 (2 pt)

Implement `make_averaged`

, which is a higher-order function that
takes a function `original_function`

as an argument.

The return value of `make_averaged`

is a function that takes in the same
number of arguments as `original_function`

. When we call this returned function
on the arguments, it will return the average value of repeatedly calling
`original_function`

on the arguments passed in.

Specifically, this function should call `original_function`

a total of
`total_samples`

times and return the average of the results of these calls.

Important:To implement this function, you will need to use a new piece of Python syntax. We would like to write a function that accepts an arbitrary number of arguments, and then calls another function using exactly those arguments. Here's how it works.Instead of listing formal parameters for a function, you can write

`*args`

, which represents all of theargumentsthat get passed into the function. We can then call another function with these same arguments by passing these`*args`

into this other function. For example:`>>> def printed(f): ... def print_and_return(*args): ... result = f(*args) ... print('Result:', result) ... return result ... return print_and_return >>> printed_pow = printed(pow) >>> printed_pow(2, 8) Result: 256 256 >>> printed_abs = printed(abs) >>> printed_abs(-10) Result: 10 10`

Here, we can pass any number of arguments into

`print_and_return`

via the`*args`

syntax. We can also use`*args`

inside our`print_and_return`

function to make another function call with the same arguments.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 08 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 08`

### Problem 9 (2 pt)

Implement `max_scoring_num_rolls`

, which runs an experiment to
determine the number of rolls (from 1 to 10) that gives the maximum average
score for a turn. Your implementation should use `make_averaged`

and
`roll_dice`

.

If two numbers of rolls are tied for the maximum average score, return the lower number. For example, if both 3 and 6 achieve a maximum average score, return 3.

You might find it useful to read the doctest and the example shown in the doctest for this problem before doing the unlocking test.

Important:In order to pass all of our tests, please make sure that you are testing dice rolls starting from 1 going up to 10, rather than from 10 to 1.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 09 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 09`

### Running Experiments

The provided `run_experiments`

function calls
`max_scoring_num_rolls(six_sided)`

and prints the result. You will likely find
that rolling 6 dice maximizes the result of `roll_dice`

using six-sided dice.

To call this function and see the result, run `hog.py`

with the `-r`

flag:

`python3 hog.py -r`

In addition, `run_experiments`

compares various strategies to `always_roll(6)`

.
You are welcome to change the implementation of `run_experiments`

as you wish.
Note that running experiments with `tail_strategy`

and `square_strategy`

will not
have accurate results until you implement them in the next two problems.

Some of the experiments may take up to a minute to run. You can always reduce
the number of trials in your call to `make_averaged`

to speed up experiments.

Running experiments won't affect your score on the project.

### Problem 10 (2 pt)

A strategy can try to take advantage of the *Pig Tail* rule by rolling 0 when
it is most beneficial to do so. Implement `tail_strategy`

, which returns 0
whenever rolling 0 would give **at least** `threshold`

points and returns
`num_rolls`

otherwise. This strategy should **not** also take into account
the Square Swine rule.

Hint: You can use the`tail_points`

function you defined in Problem 2.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 10 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 10`

You should find that running `python3 hog.py -r`

now shows a win rate for
`tail_strategy`

close to 57%.

### Problem 11 (2 pt)

A better strategy will take advantage of both *Pig Tail* and *Square Swine* in
combination. Even a small number of pig tail points can lead to large gains.
For example, if a player has 31 points and their opponent has 42, rolling 0
would bring them to 36 which is a perfect square, and so they would end the
turn with 49 points: a gain of 49 - 31 = 18!

The `square_strategy`

returns 0 whenever rolling 0 would result in a score that
is **at least** `threshold`

points more than the player's score at the
start of turn.

Hint: You can use the`square_update`

function.

Before writing any code, unlock the tests to verify your understanding of the question:

`python3 ok -q 11 -u`

Once you are done unlocking, begin implementing your solution. You can check your correctness with:

`python3 ok -q 11`

You should find that running `python3 hog.py -r`

now shows a win rate for
`square_strategy`

close to 62%.

### Optional: Problem 12 (0 pt)

Implement `final_strategy`

, which combines these ideas and any other ideas you
have to achieve a high win rate against the baseline strategy. Some
suggestions:

- If you know the goal score (by default it is 100), there's no benefit to scoring more than the goal. Check whether you can win by rolling 0, 1 or 2 dice. If you are in the lead, you might decide to take fewer risks.
- Instead of using a threshold, roll 0 whenever it would give you more points on average than rolling 6.

You can check that your final strategy is valid by running `ok`

.

`python3 ok -q 12`

## Project submission

Run `ok`

on all problems to make sure all tests are unlocked and pass:

`python3 ok`

You can also check your score on each part of the project:

`python3 ok --score`

Once you are satisfied, submit this assignment by uploading `hog.py`

**to Gradescope.** For a refresher on how to do this, refer to Lab 00.

**Congratulations, you have reached the end of your first CS 61A project!**
If you haven't already, relax and enjoy a few games of Hog with a friend.

/proj/hog_contest

## Hog Contest

If you're interested, you can take your implementation of Hog one step further
by participating in the Hog Contest, where you play your `final_strategy`

against those of other students. The winning strategies will receive extra
credit and will be recognized in future semesters!

To see more, read the contest description. Or check out the leaderboard.